STSCI 5080
Last Updated
- Schedule of Classes - November 16, 2024 7:33PM EST
- Course Catalog - November 16, 2024 7:07PM EST
Classes
STSCI 5080
Course Description
Course information provided by the Courses of Study 2024-2025.
This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent.
Outcomes
- Students will be able to manipulate random variables and their distributions using differential and integral calculus.
- Students will be able to derive properties of standard probability.
- Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 3080, ILRST 3080, STSCI 3080
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW
- Jan 21 - May 6, 2025
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
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Meeting Pattern
- T
- Jan 21 - May 6, 2025
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
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